About this role
PLACE OF WORK 4024 Debrecen, Barna utca 23 (HU-HNL-002) AREA OF EMPLOYMENT IT START OF WORK as soon as possible EMPLOYMENT TYPE Full-time megállapodás szerint .profile_item { list-style-type: none !important; } .profile_heading { font-weight: bold; } .profile_content { padding-bottom: 0.5rem; } .profile_section:has(.profile_item:empty) { display: none; } My responsibilities: Design, build, and operate conversational analytics assistants that let business users ask questions of company data in natural language and receive accurate, traceable answers Develop LLM-based applications and agents in Python, including text-to-SQL, tool calling, and retrieval over documents and business definitions Build and maintain evaluation pipelines, including test sets, automated regression checks, and answer quality monitoring, so every prompt, model, or data change is measured before release Ensure solutions are secure and compliant, with permissions enforced in the backend, protection against prompt injection, and responsible handling of personal data under GDPR Monitor and optimize production systems for accuracy, latency, and cost, including model selection, caching, and support for multiple languages Work closely with data engineers, analysts, and business stakeholders to turn requirements into reliable solutions, and document all technical processes to ensure operational continuity The knowledge I own: Strong programming knowledge in Python, including building and testing production services and APIs Hands-on experience shipping LLM-based applications to production using managed model APIs Strong SQL knowledge and experience with text-to-SQL or other natural language interfaces over structured data Strong understanding of retrieval-augmented generation (document parsing, chunking, hybrid search, reranking) Experience evaluating LLM systems (building test sets, regression testing, using LLM-as-a-judge and knowing its limits) Good understanding of agent design, tool calling, structured outputs, and context management Basic understanding of LLM security (prompt injection, access control) and data protection requirements (GDPR) Basic understanding of data modelling principles and semantic layers (metric definitions, business glossaries) Pragmatic, data-centric mindset: chooses the simplest solution that works and measures before optimizing Structured, analytical thinking Strong communication skills, including explaining what AI can and cannot do to non-technical stakeholders Well-organized Practical experience with Databricks Genie, Microsoft Fabric AI Agents or SAP Joule is appreciated The offer that would convince me: A constantly growing organization and increasing opportunities Secure, long-term job opportunity Varied and engaging job responsibilities The chance to build AI products used by colleagues across the international organization Outstanding salary Flexible work arrangements Home office possibility Online application: Please use our online application and attach your resume. AIIS Adatkezelési tájékoztató Privacy notice